Interaction between human and AI systems - When automated systems move towards autonomous
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F19%3A10242384" target="_blank" >RIV/61989100:27230/19:10242384 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/CarpathianCC.2019.8765952" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2019.8765952</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2019.8765952" target="_blank" >10.1109/CarpathianCC.2019.8765952</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Interaction between human and AI systems - When automated systems move towards autonomous
Popis výsledku v původním jazyce
This paper is inspired by our work on a diploma thesis focused on monitoring the performance of process control assets. Over the years, what makes an organization successful has been a frequently asked question. It is possible to improve its processes, those routines that consists of a set of controlled actions to accomplish a specific goal, depending on individual projects, but it is important to support sustainable principles as they align the organizational activities with clearly defined goals and benchmarks. Key Performance Indicator (KPI) is defined as a measurable value that demonstrates how effectively a process is running and reaching its targets. We would like to demonstrate with an example from industry, on how the methods of process measurements can change depending on the availability of complete, correct and consistent data, enabling training AI algorithms and supporting the idea of creating an augmented expert. (C) 2019 IEEE.
Název v anglickém jazyce
Interaction between human and AI systems - When automated systems move towards autonomous
Popis výsledku anglicky
This paper is inspired by our work on a diploma thesis focused on monitoring the performance of process control assets. Over the years, what makes an organization successful has been a frequently asked question. It is possible to improve its processes, those routines that consists of a set of controlled actions to accomplish a specific goal, depending on individual projects, but it is important to support sustainable principles as they align the organizational activities with clearly defined goals and benchmarks. Key Performance Indicator (KPI) is defined as a measurable value that demonstrates how effectively a process is running and reaching its targets. We would like to demonstrate with an example from industry, on how the methods of process measurements can change depending on the availability of complete, correct and consistent data, enabling training AI algorithms and supporting the idea of creating an augmented expert. (C) 2019 IEEE.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019
ISBN
978-1-72810-701-1
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
283-288
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Krakov
Datum konání akce
26. 5. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000490570500060